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  • Statistical Classification

Results for "statistical classification"


  • Status: Preview
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    U

    Universidad de Palermo

    Finanzas de Start Up y Valuación de Proyectos

    Skills you'll gain: Cash Flows, Business Modeling, Financial Analysis, Risk Analysis, Project Finance, Financial Statement Analysis, Business Valuation, Financial Modeling, Entrepreneurship, Business Strategies, Business Planning, Presentations

    4.7
    Rating, 4.7 out of 5 stars
    Ā·
    19 reviews

    Beginner Ā· Course Ā· 1 - 4 Weeks

  • C

    Coursera

    PyCaret: Anatomy of Regression

    Skills you'll gain: Regression Analysis, Predictive Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Model Evaluation, Data Preprocessing, Applied Machine Learning, Data Visualization, Exploratory Data Analysis, Performance Tuning, Python Programming, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    Ā·
    14 reviews

    Intermediate Ā· Guided Project Ā· Less Than 2 Hours

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    R

    Rice University

    Finances pour les professionnels non financiers

    Skills you'll gain: Capital Budgeting, Capital Expenditure, Financial Analysis, Cash Flows, Business Valuation, Finance, Financial Modeling, Return On Investment, Financial Statements, Corporate Finance, Risk Analysis, Working Capital, Investments

    Beginner Ā· Course Ā· 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Case Western Reserve University

    Basic Principles of Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Statistical Modeling, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Data Validation, Histogram, Box Plots, Simulation and Simulation Software, Model Evaluation

    Beginner Ā· Course Ā· 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    TensorFlow ć‚’ä½æć£ćŸē•³ćæč¾¼ćæćƒ‹ćƒ„ćƒ¼ćƒ©ćƒ«ćƒćƒƒćƒˆćƒÆćƒ¼ć‚Æ

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Transfer Learning, Image Analysis, Computer Vision, Classification Algorithms, Applied Machine Learning, Data Preprocessing, Model Evaluation

    Intermediate Ā· Course Ā· 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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    E

    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Applied Machine Learning, Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Data Analysis, Python Programming

    Mixed Ā· Course Ā· 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Measuring and Modeling Impact in Evaluations

    Skills you'll gain: Program Evaluation, Maternal Health, Nutrition and Diet, Child Health, Social Impact, Research Methodologies, Data Collection, Epidemiology, Public Health and Disease Prevention, Health Policy, Mathematical Modeling, Statistical Modeling, Data Analysis Software

    4.6
    Rating, 4.6 out of 5 stars
    Ā·
    11 reviews

    Intermediate Ā· Course Ā· 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 2: Unit 2

    Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

    Beginner Ā· Course Ā· 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Linear Regression with R: Build & Optimize

    Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Data Visualization, Statistical Modeling, Feature Engineering, Predictive Modeling, Data Analysis, R Programming, Predictive Analytics, Exploratory Data Analysis, Supervised Learning, Statistical Analysis, Correlation Analysis, Probability & Statistics, Data Manipulation, Linear Algebra, Statistical Hypothesis Testing

    Mixed Ā· Course Ā· 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Learning Deep Learning

    Skills you'll gain: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Vision Transformer (ViT), LLM Application, Transfer Learning, Computer Vision, Responsible AI, Natural Language Processing, Embeddings, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Multimodal Prompts

    Intermediate Ā· Specialization Ā· 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Natural Language Processing - Transformers with Hugging Face

    Skills you'll gain: Hugging Face, Large Language Modeling, Transfer Learning, Text Mining, Semantic Web, Tensorflow, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Embeddings, Python Programming, Applied Machine Learning, Unsupervised Learning

    Intermediate Ā· Course Ā· 1 - 4 Weeks

  • Status: Preview
    Preview
    Ɖ

    Ɖcole Polytechnique FĆ©dĆ©rale de Lausanne

    Geographical Information Systems - Part 2

    Skills you'll gain: Spatial Analysis, Spatial Data Analysis, GIS Software, Geographic Information Systems, Geospatial Mapping, Geostatistics, Interactive Data Visualization, Data Integration, Data Mapping, Augmented Reality, Sampling (Statistics)

    Beginner Ā· Course Ā· 1 - 3 Months

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In summary, here are 10 of our most popular statistical classification courses

  • Finanzas de Start Up y Valuación de Proyectos:Ā Universidad de Palermo
  • PyCaret: Anatomy of Regression:Ā Coursera
  • Finances pour les professionnels non financiers:Ā Rice University
  • Basic Principles of Geostatistical Geospatial Modeling:Ā Case Western Reserve University
  • TensorFlow ć‚’ä½æć£ćŸē•³ćæč¾¼ćæćƒ‹ćƒ„ćƒ¼ćƒ©ćƒ«ćƒćƒƒćƒˆćƒÆćƒ¼ć‚Æ:Ā DeepLearning.AI
  • Python: Implement & Evaluate Random Forests for ML:Ā EDUCBA
  • Measuring and Modeling Impact in Evaluations:Ā Johns Hopkins University
  • Data Science Fundamentals Part 2: Unit 2:Ā Pearson
  • Linear Regression with R: Build & Optimize:Ā EDUCBA
  • Learning Deep Learning:Ā Pearson

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